Keynote Speakers

 Marios Fragkoulis is a senior research scientist in Delivery Hero leading the company’s research team on recommender systems. Previously, he held an Assistant Prof. position at the University of Ioannina (Greece) and a postdoc researcher position at Delft University of Technology (Netherlands).

Marios has also served as a technical advisor at Hazelcast.

His research on recommender systems revolves around personalized and session-based recommendation models, contextual information, evaluation approaches, and scalability.

 Jan Hartman is a data scientist at Outbrain, where he works with high-throughput, low-latency ML pipelines at a large scale. He tackles implementing and applying state-of-the-art models for click prediction. Before joining Outbrain, he worked on research projects in the fields of distributed computing, neural network optimization, and cryptography. He holds an honors MSc degree in Computer & Data Science from the University of Ljubljana. His research interests include deep learning, neural network embeddings, and model compression. 

 Dr. Natalia Silberstein is a senior data scientist and team leader in the Recommendations group at Outbrain. Her responsibilities involve enhancing and developing algorithms for personalized ad selection. Prior to joining Outbrain, she worked as a research scientist at Yahoo Research Haifa in the Native Ad Science group. Before that, Natalia was part of the Mail Mining group, where she primarily worked on analyzing and modeling mail data to devise novel mail features. She holds a PhD from the Computer Science Department at the Technion - Israel Institute of Technology. After completing her doctoral studies, she conducted postdoctoral research at the Department of Electrical & Computer Engineering, University of Texas, Austin, focusing on coding for distributed storage systems.